Interface in English. Medical references retain their original language; bilingual names and selected translations are provided.
工具说明
原始资料可追溯英文登记说明
The 'phenomis' package provides methods to perform post-processing (i.e. quality control and normalization) as well as univariate statistical analysis of single and multi-omics data sets. These methods include quality control metrics, signal drift and batch effect correction, intensity transformation, univariate hypothesis testing, but also clustering (as well as annotation of metabolomics data). The data are handled in the standard Bioconductor formats (i.e. SummarizedExperiment and MultiAssayExperiment for single and multi-omics datasets, respectively; the alternative ExpressionSet and MultiDataSet formats are also supported for convenience). As a result, all methods can be readily chained as workflows. The pipeline can be further enriched by multivariate analysis and feature selection, by using the 'ropls' and 'biosigner' packages, which support the same formats. Data can be conveniently imported from and exported to text files.
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方法与适用范围
来源为 bio.tools 登记记录,未逐项完成实际运行验证。请在上传数据或安装前核查作者、权限与许可。
依据与来源
- bio.tools 原始登记记录
元数据来源许可:CC BY 4.0;软件本身许可另行核查。中文说明为本站领域导引,不是完整翻译。

